332G IST Building
The Graduate Certificate Program in Data Mining (DM) empowers professionals with knowledge and skills regarding the discovery and the synthesis of information and knowledge for supporting decision makings. Students will learn the foundations of information sciences, databases, knowledge management and data mining from 3 required courses (9 credits). Through 2 additional elective courses (6 credits), students can learn the theory and the practice on topics ranging from network security, information retrieval, advanced data mining, to intelligent agents. The graduate certificate program provides an excellent advanced education opportunity not only for those professionals from corporations, military, and other government agencies who desire career advancement but also for those who may be interested in a professional master program. Up to 15 credits of coursework taken in non-degree status can count towards a graduate degree (e.g., MPS in Information Sciences).
Both students of a graduate degree program (e.g., Master of Professional Studies) and non-degree graduate students can be awarded the graduate certificate after they complete the course requirement of the program.
Applicants for non-degree graduate students must have received, from an accredited institution, a baccalaureate degree equivalent to those required by Penn State. International students must hold the equivalent of an American four-year baccalaureate degree. GRE scores are not required for non-degree graduate students.
A bachelor's degree in a related area (e.g., engineering and science), while not required, is helpful in the successful completion of the certificate. It is expected that students will have a basic level of competency in computer language and information technology (related work experience can be used to demonstrate such competency).
International students must satisfy the Graduate School's English language requirement.
LIST OF COURSES INCLUDED IN THE CERTIFICATE PROGRAM:
Required Courses (9 credits):
IST 562. Theoretical Foundations of Information Sciences (3 cr.)
IST 552. Data and Knowledge Management (3 cr.)
IST/STAT 557. Data Mining I (3 cr.)
Elective Courses (6 credits)
Choose two courses from the following courses or other courses approved by the College of Information Sciences and Technology:
IST 516. Web and Internet Information Retrieval (3 cr.)
IST 554. Network Management and Security (3 cr)
IST 555. Intelligent Agents and Distributed Decision Making (3 cr.)
INFORMATION SCIENCES AND TECHNOLOGY (IST) course list
EFFECTIVE DATE: Spring Semester 2010
EXPIRATION DATE: Spring Semester 2014
Last Revised by the Department: Fall Semester 2009
Blue Sheet Item#: 37-07-069
Review Date: 6/16/09